SC3s: efficient scaling of single cell consensus clustering to millions of cells
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
SC3s: efficient scaling of single cell consensus clustering to millions of cells ; volume:23 ; number:1 ; day:12 ; month:12 ; year:2022 ; pages:1-5 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (12.12.2022), 1-5, 12.2022
- Urheber
-
Quah, Fu Xiang
Hemberg, Martin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-022-05085-z
- URN
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urn:nbn:de:101:1-2023022121022365666130
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
Datenpartner
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Beteiligte
- Quah, Fu Xiang
- Hemberg, Martin
- SpringerLink (Online service)
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